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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    the word "observe" and its variations

    oai_token-act-pair · gpt-3.5-turbo

    the act of observing or monitoring

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gur
    -0.79
    xit
    -0.76
    cit
    -0.75
    rax
    -0.73
    onz
    -0.73
    ikuman
    -0.73
    utm
    -0.72
    venge
    -0.68
    recy
    -0.66
    uncle
    -0.66
    POSITIVE LOGITS
     observation
    0.95
     Observ
    0.90
     observed
    0.73
     observations
    0.72
     patterns
    0.72
    uality
    0.72
    eering
    0.72
     Patterns
    0.72
     observe
    0.71
     observing
    0.70
    Activations Density 0.013%

    No Known Activations